Answer:
[tex]15.55-2.997\frac{0.278}{\sqrt{8}}=15.26[/tex]
[tex]15.55+2.997\frac{0.278}{\sqrt{8}}=15.84[/tex]
The 98% confidence interval would be given by (15.26;15.84)
Step-by-step explanation:
Notation
[tex]\bar X[/tex] represent the sample mean for the sample
[tex]\mu[/tex] population mean (variable of interest)
s represent the sample standard deviation
n represent the sample size
Solution to the problem
The confidence interval for the mean is given by the following formula:
[tex]\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}[/tex] (1)
We can calculate the mean and the sample deviation we can use the following formulas:
[tex]\bar X= \sum_{i=1}^n \frac{x_i}{n}[/tex] (2)
[tex]s=\sqrt{\frac{\sum_{i=1}^n (x_i-\bar X)}{n-1}}[/tex] (3)
The mean calculated for this case is [tex]\bar X=15.55[/tex]
The sample deviation calculated [tex]s=0.278[/tex]
In order to calculate the critical value [tex]t_{\alpha/2}[/tex] we need to find first the degrees of freedom, given by:
[tex]df=n-1=8-1=7[/tex]
Since the Confidence is 0.98 or 98%, the value of [tex]\alpha=0.02[/tex] and [tex]\alpha/2 =0.01[/tex], and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.01,7)".And we see that [tex]t_{\alpha/2}=2.997[/tex]
And the confidence interval is given by:
[tex]15.55-2.997\frac{0.278}{\sqrt{8}}=15.26[/tex]
[tex]15.55+2.997\frac{0.278}{\sqrt{8}}=15.84[/tex]
The 98% confidence interval would be given by (15.26;15.84)